Welcome to ACM SAC - Data Mining Track

EXTENDED DEADLINE: October 31, 2022

We are pleased to solicit original, unpublished and novel papers for publication and presentation in The 38th SIGAPP ACM Symposium on Applied Computing (SAC) Track on Data Mining. Articles describing novel ideas and applications in all areas of data mining are of interest, including the following:

• New data mining problems and problem formulations

  • NoSQL databases and with MapReduce

  • Explainable AI and white box models

  • Declarative and functional programming approaches

• Anytime data mining and data mining under defined resource constraints

• HPC and parallel approaches to data mining

• Stream mining with a specific focus on unresolved or not well-investigated issues like high-dimensionality, density estimation, process mining, etc.

• Process mining: statistical or physical approaches to process mining, non-standard representations of processes, etc.

• Data mining and causal inference

• Privacy-preserving Data Mining

• Contributions to a theory of data mining and to the definition of a knowledge discovery process

• Analysis of complex, multi-layered, dynamically changing networks

• Visual approaches to data mining

• New solutions to old problems like outlier detection, feature selection, pre-processing

• New, relevant, challenging applications areas of data mining

• Data mining for computational sustainability (renewable energy, logistics, bio-degradation, etc.)

• Data mining for the digital humanities

• Data mining for discrimination discovery

• Data mining for business analytics

• Mining big data

  • Earth and climate data

  • Satellite data

  • Learning technologies

  • Natural language processing using GPT-3, BERT, etc.

• Machine learning

  • Statistical approaches to concept learning

  • Learning by cases

  • Statistical inference with evolving data with long-life learning

  • Privacy-preserving data mining, Differential Privacy, and randomization protocols

2023 ACM SAC Data Mining Track will be held at Tallinn, Estonia from March 27 through March 31, 2023. ACM SAC Data Mining has a successful history of accepting quality papers and offering a stimulating platform for the exchange of ideas and disseminating cutting edge research to the community. The 2023 ACM SAC Data Mining Track is the 24th such event in the 38 years of ACM SAC tradition.

The ACM Symposium on Applied Computing is recognized as a primary forum for applied computer scientists and application developers from around the world to interact and present their work. SAC 2023 is sponsored by the ACM Special Interest Group on Applied Computing (SIGAPP) and is presented in cooperation with other ACM Special Interest Groups. For more information on ACM SAC 2023, please visit ACM SAC 2023 page.

All enquiries and questions should be directed to the Track Chairs. Additional details are available on the track home page at ACM SAC 2023 Data Mining Track (this page).

Paper Submission and Publication

Original and unpublished papers are solicited for this track. The file format should be in PDF. The author(s) name(s) and address(es) must not appear in the body of the paper, and self-reference should be in the third person. This is to facilitate double blind review. Only the title should be shown at the first page without the author's information. Papers must be formatted according to the template which is available at the SAC 2023 website at ACM Publication Proceedings Templates.

Paper size is limited to 8 pages in the ACM proceedings template, and at most 2 extra pages are allowed at an additional cost. A few key words should be provided. Posters are limited to 3 pages with the option for an additional page. A paper cannot be sent to more than one track. Original regular manuscripts should be submitted in electronic format via SAC 2022 web site at ACM SAC 2023 Paper Submission Page.

All papers will be fully refereed and undergo a double blind review process by at least three referees. The conference proceedings will be published by ACM.

Paper registration is required, allowing the inclusion of the paper, poster, or SRC abstracts in the conference proceedings. An author or a proxy attending SAC MUST present the paper. This is a requirement for including the work in the ACM/IEEE digital library. No-show of registered papers, posters, and SRC abstracts will result in excluding them from the ACM/IEEE digital library.

Poster Publication of Selected Papers: A set of selected papers will be accepted as poster papers by invitation only and will be published as short papers in the symposium proceedings.

Student Research Competition (SRC) Program

Graduate students are invited to submit research 2 page abstracts (extra pages are not allowed) using the ACM template. Submission of the same abstract to multiple tracks is not allowed. All research abstract submissions will be reviewed by expert reviewers and practitioners. Authors of selected abstracts will have the opportunity to present their posters and compete for three top-winning places. The SRC committee will evaluate and select the first-, second-, and third-place winners. The winners will receive medals and cash awards. Winners will be announced during the conference banquet. Authors of selected abstracts are eligible to apply to the SIGAPP Student Travel Award program for financial support. Please submit your SRC abstracts here.

PC Committee

Fabrizio Angiulli, Università della Calabria, Italy

Daniele Apiletti, Politecnico di Torino, Italy

Elena Baralis, Politecnico di Torino, Italy

Michelangelo Ceci, University of Bari, Italy

Tania Cerquitelli, Politecnico di Torino, Italy

José Alfredo Costa, Universidade Federal do Rio Grande do Norte, Brasil

Bruno Cremilleux, University of Caen Normandy, France

Bertrand Cuissart, University of Caen Normandy, France

Luigi Di Caro, University of Turin, Italy

Philippe Fournier-Viger, Harbin Institute of Technology, China

Massimo Guarascio, ICAR, CR, Italy

Sherri Harms, University of Nebraska Kearney, USA

Szymon Jaroszewicz, The Institute of Computer Science, Polish Academy of Sciences, Poland

Carson K. Leung, University of Manitoba, Canada

Florent Masseglia, INRIA, France

Taneli Mielikainen, University of Helsinki, Finland

Salvatore Orlando, Università Ca' Foscari Venezia, Italy

Eliana Pastor, CENTAI, Torino, Italy

Yulong Pei, Technical University Eindhoven, Netherlands

Sergio Peignier, INSA Lyon, France

Mirko Polato, University of Turin, Italy

Daniel Sanchez, University of Granada, Spain

Emilio Sulis, University of Torino, Italy

Raymond Wong, University of New South Wales, Australia